Complexity in the Automotive Industry with a Systems Engineering Approach

Complexity in the Automotive Industry with a Systems Engineering Approach

 

Complexity in the Automotive Industry with a Systems Engineering Approach

This webinar discusses how adopting Model-based Systems Engineering (MBSE) helps automotive manufacturers remain competitive, agile, and cost-effective while tackling challenges such as quality, increased regulation, sustainability, and cost. Illustrated with the example of an electric drive, our automotive MBSE experts will explain how to overcome challenges and ensure that the digital thread of requirements remains in the modeling environment from requirements to design, analysis, verification and validation. Register to watch now!

Overcome quality, increased regulation, sustainability, and cost challenges using MBSE

The automotive industry’s increased product and process complexity urge many automotive OEMs and suppliers to reevaluate their current product development processes. Deploying a Model-based Systems Engineering (MBSE) approach, connects systems engineering with the rest of the development organization, improving collaboration and decision-making. While the advantages are plentiful, a systems engineering approach encounters challenges: only some requirements can be modeled with the level of accuracy needed, and a heterogeneous mix of modeling and analysis tools from various sources makes it difficult to link all of them synchronously.

Using the example of an electric drive, MBSE experts illustrate how to link all requirements to the corresponding models, ensuring a digital thread of requirements in the modeling environment from requirements to design, analysis, verification and validation.

  • In the early stages: to make an informed decision and arrive at a baseline architecture and refined system requirements that later become a blueprint for detailed design and simulation.
  • In the connected engineering stage: to enable a better product architecture and design options exploration, optimization, and concept selection, including performance evaluation and design trade-offs.
  • In the connected engineering and product validation stage: to ensure that the simulation and testing workflows are well integrated with requirements, system architecture, ECAD/MCAD, and the rest of the process, making it easier to understand and communicate the design and requirements of the electric drive system throughout the development organization.

Key takeaways:

  • Ensure compliance with regulations and standards
  • Reduce risk and increase innovation using a digital thread that remains in the modeling environment
  • Improve collaboration and decision-making based on integrated simulation and testing workflows
  • Obtain a better product architecture, explore design options, and evaluate the performance and trade-offs
  • Improve efficiency and effectiveness by tracking the entire development process, reducing errors, and rework

Register now and learn how to remain competitive, agile, and cost-effective while tackling the challenges of quality, increased regulation, sustainability, and cost.

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